Papers from an international workshop on Towards Evolvable Hardware, The Evolutionary Engineering Approach
Phylogeny, Ontogeny, and Epigenesis: Three Sources of Biological Inspiration for Softening Hardware
ICES '96 Proceedings of the First International Conference on Evolvable Systems: From Biology to Hardware
MUXTREE Revisited: Embryonics as a Reconfiguration Strategy in Fault-Tolerant Processor Arrays
ICES '98 Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware
Reliability Analysis in Self-Repairing Embryonic Systems
EH '99 Proceedings of the 1st NASA/DOD workshop on Evolvable Hardware
Evolutionary Strategies And Intrinsic Fault Tolerance
EH '01 Proceedings of the The 3rd NASA/DoD Workshop on Evolvable Hardware
Developmental Processes in Silicon: An Engineering Perspective
EH '03 Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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In nature the DNA contained in each cell of an organism, is in fact a memory map that, through the transcription of its genes, describes the unique characteristics of the individual. Similarly in an artificial embryonic cell, used to construct electronic systems, a memory map and its relevant gene also describes and determines the functionality of each cell and, collectively, the entire system. This paper proposes a new variable size memory map based on a novel and efficient gene selection algorithm that no longer uses the hitherto common address decoding approach to access some fixed memory space. Instead, it applies the principle of cyclic metamorphic gene selection of the artificial DNA memory. A further benefit of the approach is that the functionality of the system can also be easily altered through genetic operators or variable memory space environment for enhanced behaviour. It is suitable therefore for the implementation of GA processes.